Pinecone

Pinecone is a fully managed vector database service designed for handling vector embeddings at scale, enabling efficient vector search and retrieval for AI-powered applications.

Features

• Fully Managed & Serverless: Pinecone is a fully managed, serverless database that automatically scales resources based on demand.
• Rapid Setup: Vector databases can be launched in seconds.
• Advanced Retrieval Capabilities: Supports precise search across dynamic datasets with high recall and low latency.
• Hybrid Search: Combines sparse (keyword-based) and dense (embedding-based) search for robust and accurate results.
• Real-time Indexing: Vectors are dynamically indexed in real-time, supporting fresh reads on upserts and updates.
• Metadata Filtering: Retrieve vectors matching specific metadata filters.
• Namespaces: Supports data partitioning through namespaces for tenant isolation and organizational use cases.
• Full-text Search: Allows exact keyword matching with sparse indexes.
• Rerankers: Additional layer of precision by reranking search results for higher relevance.
• Integrations: Compatible with various cloud providers, data sources, models, and frameworks.
• Security: Encryption at rest and in transit, hierarchical encryption keys, private networking.
• Compliance: SOC 2, GDPR, ISO 27001, and HIPAA certified.
• Reliability: High uptime SLAs, support SLAs, and observability for mission-critical applications.
• Flexible Embedding Support: Use Pinecone's hosted models or bring your own vectors.

Pricing

• Free Tier: Create your first index for free.
• Pay-as-you-go: Scale and pay based on usage as your needs grow.

(For detailed pricing plans, refer to Pinecone Pricing Page)

Category

• Vector Database Engines

Tags

• managed-service
• vector-search
• scalable
• ai